#cell attributes like area, mcherry intensity, etc at t=0
#cells with pup1-rfp
modc_cells.pup1.1 <- read_csv("~/plots/pup1-rfp-gfp-decay/5-5-20-20mGFP/data/5-5-21-20mGFP_mODC_attributes_puncta_20min.csv") %>%
rename( "gfp.mean.bg.af.sub.new" ="gfp.mean.bg.sub.new") %>%
filter(experiment == "20min")
modc_cells.pup1.2 <- read_csv("~/plots/pup1-rfp-gfp-decay/6-28-22-modc-gfp/data/6-28-22_mODC_pup1_attributes.csv") %>%
filter(experiment == "20min")
cln2_cells.pup1.1 <- read_csv("~/plots/pup1-rfp-gfp-decay/5-9-21-30mGFP/data/5-9-21-30mGFP_cln2_puncta_attributes.csv") %>%
rename( "gfp.mean.bg.af.sub.new" ="gfp.mean.bg.sub.new") %>%
filter(experiment == "20min")
cln2_cells.pup1.2 <- read_csv("~/plots/pup1-rfp-gfp-decay/6-28-22-cln2-gfp/data/6-28-22_cln2_pup1_attributes.csv")
cln2_cells.pup1.3 <- read_csv("~/plots/pup1-rfp-gfp-decay/7-20-22-cln2-gfp/data/7-20-22_cln2_pup1_attributes.csv")
#10-18-22 Repeate
cln2_cells.pup1.4 <- read_csv("~/plots/pup1-rfp-gfp-decay/10-7-22-cln2-gfp/data/10-7-22_cln2_pup1_attributes.csv")
stable_cells.pup1 <- read_csv("~/plots/pup1-rfp-gfp-decay/4-28-21-8hrGFP/data/4-28-21-8hrGFP_attributes.csv") %>%
rename("gfp.mean.bg.af.sub.new" = "gfp.mean.bg.sub.new" )
stable_cells.pup2 <- read_csv("~/plots/pup1-rfp-gfp-decay/7-20-22-stable-gfp/data/7-20-22_stable_pup1_attributes.csv")
#10-7-22 repeate
stable_cells.pup3 <- read_csv("~/plots/pup1-rfp-gfp-decay/10-7-22-stable-gfp/data/10-7-22_stable_pup1_attributes.csv")
all.pup1.data <- bind_rows(cln2_cells.pup1.4 %>%
mutate(degron = "cln2.4"),
stable_cells.pup3 %>%
mutate(degron = "stable.3")) %>%
# bind_rows(modc_cells.pup1.1 %>%
# mutate(degron = "mODC"),
# modc_cells.pup1.2 %>%
# mutate(degron = "mODC.2"),
# cln2_cells.pup1.1 %>%
# mutate(degron = "cln2"),
# cln2_cells.pup1.2 %>%
# mutate(degron = "cln2.2"),
# cln2_cells.pup1.3 %>%
# mutate(degron = "cln2.3"),
# stable_cells.pup1 %>%
# mutate(degron = "stable"),
# stable_cells.pup2 %>%
# mutate(degron = "stable.2")) %>%
select(unique.trackID,
gfp.mean.bg.af.sub.new,
gfp.sum.bg.af.sub,
area,
area.puncta,
# BB_B,
# BB_C,
Elip_B,
Elip_C,
no.of.voxels,
pos.x,
pos.y,
spheracity,
volume,
rfp.mean.bg.sub,
rfp.sum.bg.sub,
dapi.mean.bg.sub,
dapi.sum.bg.sub,
rfp.mean.bg.sub.puncta,
# rfp.mean.af.sub.puncta,
rfp.sum.bg.sub.puncta,
# rfp.sum.af.sub.puncta,
dapi.sum.bg.sub.puncta,
# dapi.sum.af.sub.puncta,
dapi.mean.bg.sub.puncta,
# dapi.mean.af.sub.puncta,
degron,area.puncta) %>%
rename("cell.id"="unique.trackID" ) %>%
mutate(red = "pup1-rfp",
treatment = "none",
cell.id = paste0(cell.id ,"_",degron,"_",red,"_",treatment))
# all.pup1.data %>%
# write_csv(.,"~/plots/all_data/all_pup1_cell_attr.csv")
#10-18-22
read_csv("~/plots/all_data/all_pup1_cell_attr.csv") %>%
bind_rows(.,all.pup1.data) %>%
write_csv(.,path = "~/plots/all_data/all_pup1_cell_attr.csv")
#old tef2-mcherry values
#repeate of the tef2-mcherry experiments
read_csv("~/plots/tef2-mch/8-4-22-calcufluor/mODC-tef2/8-4-22_modc_tef2-mch_attributes.csv")
Rows: 2504 Columns: 56
── Column specification ──────────────────────────────────────────────────────────────────────────────────────────────
Delimiter: ","
chr (5): unique.trackID, experiment, field, exp.field, sample
dbl (51): gfp.mean.bg.af.sub.new, gfp.mean.bg.sub, gfp.sum.bg.sub, avg.gfp.bg, area, pos.x, pos.y, timepoint, trac...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
#combining the old tef2-mch experiment data with the repeated
experiments
tef2.mch.all.select %>%
write_csv(.,"~/plots/all_data/all_tef2-mch_attr.csv")
##MG135 proteasome inhibition experiments
1uM
cell.info.1uM <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/1uM/4-1-22-GFP_mODC_1uMMG132_attributes.csv")
2.5uM
cell.info.2.5uM <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/2.5uM/4-1-22-GFP_mODC_2.5uMMG132_attributes.csv")
5uM
cell.info.5uM <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/5uM/4-1-22-GFP_mODC_5uMMG132_attributes.csv")
50uM
cell.info.50uM <- read.csv("~/plots/proteasome_inhibition/data/2-3-22/MG132_50uM/2-3-22-GFP_mODC_50uMMG132_attributes.csv")
Combined dataframes
all.Prot.Inhi.info %>%
write_csv(.,"~/plots/all_data/all_mg135_attr.csv")
---
title: "cell_attributes"
output: html_notebook
---

#cell attributes like area, mcherry intensity, etc at t=0
```{r}
#cells with pup1-rfp
modc_cells.pup1.1 <- read_csv("~/plots/pup1-rfp-gfp-decay/5-5-20-20mGFP/data/5-5-21-20mGFP_mODC_attributes_puncta_20min.csv") %>% 
  rename( "gfp.mean.bg.af.sub.new" ="gfp.mean.bg.sub.new") %>% 
  filter(experiment == "20min")


modc_cells.pup1.2 <- read_csv("~/plots/pup1-rfp-gfp-decay/6-28-22-modc-gfp/data/6-28-22_mODC_pup1_attributes.csv") %>% 
  filter(experiment == "20min")


cln2_cells.pup1.1 <- read_csv("~/plots/pup1-rfp-gfp-decay/5-9-21-30mGFP/data/5-9-21-30mGFP_cln2_puncta_attributes.csv") %>% 
   rename( "gfp.mean.bg.af.sub.new" ="gfp.mean.bg.sub.new") %>% 
  filter(experiment == "20min")

cln2_cells.pup1.2 <- read_csv("~/plots/pup1-rfp-gfp-decay/6-28-22-cln2-gfp/data/6-28-22_cln2_pup1_attributes.csv")
cln2_cells.pup1.3 <- read_csv("~/plots/pup1-rfp-gfp-decay/7-20-22-cln2-gfp/data/7-20-22_cln2_pup1_attributes.csv")
#10-18-22 Repeate
cln2_cells.pup1.4 <- read_csv("~/plots/pup1-rfp-gfp-decay/10-7-22-cln2-gfp/data/10-7-22_cln2_pup1_attributes.csv")


stable_cells.pup1 <- read_csv("~/plots/pup1-rfp-gfp-decay/4-28-21-8hrGFP/data/4-28-21-8hrGFP_attributes.csv") %>% 
  rename("gfp.mean.bg.af.sub.new" = "gfp.mean.bg.sub.new" )

stable_cells.pup2 <- read_csv("~/plots/pup1-rfp-gfp-decay/7-20-22-stable-gfp/data/7-20-22_stable_pup1_attributes.csv")
#10-7-22 repeate
stable_cells.pup3 <- read_csv("~/plots/pup1-rfp-gfp-decay/10-7-22-stable-gfp/data/10-7-22_stable_pup1_attributes.csv")


all.pup1.data <- bind_rows(cln2_cells.pup1.4 %>% 
                             mutate(degron = "cln2.4"),
                           stable_cells.pup3 %>% 
                             mutate(degron = "stable.3")) %>% 
  # bind_rows(modc_cells.pup1.1 %>% 
  #           mutate(degron = "mODC"),
  #           modc_cells.pup1.2 %>% 
  #             mutate(degron = "mODC.2"),
  #         cln2_cells.pup1.1 %>% 
  #          mutate(degron = "cln2"),
  #         cln2_cells.pup1.2 %>% 
  #           mutate(degron = "cln2.2"),
  #          cln2_cells.pup1.3 %>% 
  #           mutate(degron = "cln2.3"),
  #         stable_cells.pup1 %>% 
  #           mutate(degron = "stable"),
  #         stable_cells.pup2 %>% 
  #           mutate(degron = "stable.2")) %>% 
  select(unique.trackID, 
         gfp.mean.bg.af.sub.new, 
         gfp.sum.bg.af.sub,
         area, 
         area.puncta,
         # BB_B,
         # BB_C,
         Elip_B,
         Elip_C,
         no.of.voxels,
         pos.x,
         pos.y,
         spheracity,
         volume,
         rfp.mean.bg.sub,
         rfp.sum.bg.sub,
         dapi.mean.bg.sub,
         dapi.sum.bg.sub,
         rfp.mean.bg.sub.puncta,
         # rfp.mean.af.sub.puncta,
         rfp.sum.bg.sub.puncta,
         # rfp.sum.af.sub.puncta,
         dapi.sum.bg.sub.puncta,
         # dapi.sum.af.sub.puncta,
         dapi.mean.bg.sub.puncta,
         # dapi.mean.af.sub.puncta,
         degron,area.puncta) %>% 
  rename("cell.id"="unique.trackID" ) %>% 
  mutate(red = "pup1-rfp",
         treatment = "none",
         cell.id = paste0(cell.id ,"_",degron,"_",red,"_",treatment))

# all.pup1.data %>% 
#   write_csv(.,"~/plots/all_data/all_pup1_cell_attr.csv")

#10-18-22 
read_csv("~/plots/all_data/all_pup1_cell_attr.csv") %>% 
  bind_rows(.,all.pup1.data) %>% 
  write_csv(.,path = "~/plots/all_data/all_pup1_cell_attr.csv")


```



#old tef2-mcherry values
```{r}
modc_cells.tef2mch.gfp.1 <- read_csv("~/plots/7-1-20/dataframes/gfp_mODC_area_intensity.csv") %>% filter(image.no == 1)
cln2_cells.tef2mch.gfp.1 <- read_csv("~/plots/7-2-20/new_filters/gfp_cln2Pest.csv")

stable_cells.tef2mch.gfp <- read_csv("~/plots/7-10-20-8hrgfp/dataframes/gfp_stable_filtered_attributes.csv")

#cells with constitutive mcherry, their mcherry values
modc_cells.tef2mcherry.mcherry <- read_csv("~/plots/7-1-20/dataframes/mcherry_filtered_GFP-mODC.csv")
cln2_cells.tef2mcherry.mcherry <- read_csv("~/plots/7-2-20/new_filters/data/mcherry_cln2Pest_filtered.csv")
stable_cells.tef2mcherry.mcherry <- read_csv("~/plots/7-10-20-8hrgfp/dataframes/mcherry_filtered_GFP-stable.csv")


#combining the gfp and mcherry values of cells with constitutive mcherry. 
modc_tef2mCh_gfp.mch <- modc_cells.tef2mch.gfp.1 %>% 
  filter(image.no == 1) %>% 
  select(cell.id, area, gfpMeanBgAFsub, image.no) %>% 
  left_join(., modc_cells.tef2mcherry.mcherry %>% 
              filter(image.no == 1) %>% 
              select(cell.id, area, mcherryMeanBgAFsub, image.no) , by = c("cell.id", "area", "image.no"))


cln2_tef2mCh_gfp.mch <- cln2_cells.tef2mch.gfp.1 %>% 
  filter(image.no == 1) %>% 
  select(cell.id, area, gfpMeanBgAFsub, image.no) %>% 
  left_join(.,cln2_cells.tef2mcherry.mcherry %>% 
              filter(image.no == 1) %>% 
              select(cell.id, area, mcherryMeanBgAFsub, image.no) , by = c("cell.id", "area", "image.no"))

stable_tef2mCh_gfp.mch <- stable_cells.tef2mch.gfp %>% 
  filter(image.no == 1) %>% 
  select(cell.id, area, gfpMeanBgAFsub, image.no) %>% 
  left_join(.,stable_cells.tef2mcherry.mcherry %>% 
              filter(image.no == 1) %>% 
              select(cell.id, area, mcherryMeanBgAFsub, image.no) , by = c("cell.id", "area", "image.no"))


tef2.old <- modc_tef2mCh_gfp.mch %>% 
  mutate(degron = "mODC") %>% 
  bind_rows(.,cln2_tef2mCh_gfp.mch %>% 
              mutate(degron = "cln2"),
            stable_tef2mCh_gfp.mch %>% 
              mutate(degron = "stable")) %>% 
  mutate(red = "tef2-mCherry", 
         treatment = "none",
         experiment = str_split(cell.id , "_", simplify = T)[,2],
         exp.field = paste0(str_split(cell.id , "_", simplify = T)[,2],"_",
                            str_split(cell.id , "_", simplify = T)[,3])) %>% 
  filter(experiment == "20min")

```
#repeate of the tef2-mcherry experiments 
```{r}
#cells with constitutive mCherry, their gfp values
modc_cells.tef2mch.gfp.2 <- read_csv("~/plots/tef2-mch/6-20-22/modc-tef2-mch/6-20-22_modc_tef2-mch_attributes.csv")
modc_cells.tef2mch.gfp.3 <- read_csv("~/plots/tef2-mch/8-4-22-calcufluor/mODC-tef2/8-4-22_modc_tef2-mch_attributes.csv") #this has budscar staining 
cln2_cells.tef2mch.gfp.2 <- read_csv("~/plots/tef2-mch/6-20-22/cln2-tef2-mch/6-20-22_cln2_tef2-mch_attributes.csv")

```

#combining the old tef2-mch experiment data with the repeated experiments 
```{r}
tef2.mch.all <- tef2.old %>% 
  bind_rows(.,bind_rows(modc_cells.tef2mch.gfp.2 %>% 
                          mutate(degron = "mODC.2"),
                        modc_cells.tef2mch.gfp.3 %>% 
                          mutate(degron = "mODC.3"),
                        cln2_cells.tef2mch.gfp.2 %>% 
                          mutate(degron = "cln2.2")) %>% 
              rename("gfpMeanBgAFsub" = "gfp.mean.bg.af.sub.new",
                     "cell.id" = "unique.trackID") %>% 
              mutate(red = "tef2-mCherry",
                     treatment = "none") %>% 
              filter(timepoint == 1)) %>% 
  select(-time, -timepoint, -ln.gfp, -image,-ln.gfp.dif,-trackID)

```

```{r}
tef2.mch.all.select <- tef2.mch.all %>% 
 select(cell.id,
        area,
        gfpMeanBgAFsub,
        mcherryMeanBgAFsub,
        degron,
        red,
        treatment,
        experiment,
        exp.field,
         Elip_B,
         Elip_C,
         no.of.voxels,
         pos.x,
         pos.y,
         spheracity,
         volume, 
        area.puncta,
        pos.x.puncta,
        pos.y.puncta,
         rfp.mean.bg.sub,
         dapi.mean.bg.sub,
         rfp.mean.bg.sub.puncta,
         dapi.mean.bg.sub.puncta,
       no.bud.scars) %>% 
  mutate(cell.id = paste0(cell.id ,"_",degron,"_",red,"_",treatment))
```
```{r}
tef2.mch.all.select %>% 
  write_csv(.,"~/plots/all_data/all_tef2-mch_attr.csv")
```


##MG135 proteasome inhibition experiments
```{r}
dmso_cell_attributes1 <- read.csv("~/plots/proteasome_inhibition/data/2-3-22/DMSO/2-3-22-GFP_mODC_DMSO_attributes.csv")
dmso_cell_attributes2 <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/DMSO/4-1-22-GFP_mODC_DMSO_attributes.csv")
```

1uM
```{r}
cell.info.1uM <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/1uM/4-1-22-GFP_mODC_1uMMG132_attributes.csv")
```

2.5uM
```{r}
cell.info.2.5uM <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/2.5uM/4-1-22-GFP_mODC_2.5uMMG132_attributes.csv")
```

5uM
```{r}

cell.info.5uM <- read.csv("~/plots/proteasome_inhibition/data/4-1-22/5uM/4-1-22-GFP_mODC_5uMMG132_attributes.csv")
```

50uM
```{r}

cell.info.50uM <- read.csv("~/plots/proteasome_inhibition/data/2-3-22/MG132_50uM/2-3-22-GFP_mODC_50uMMG132_attributes.csv")
```

Combined dataframes 
```{r}
all.Prot.Inhi.info <- bind_rows(dmso_cell_attributes1 %>% 
            mutate(treatment = "dmso1"), 
            dmso_cell_attributes2 %>% 
            mutate(treatment = "dmso2"),
            cell.info.1uM %>% 
              mutate(treatment = "1uM"),
            cell.info.2.5uM %>% 
               mutate(treatment = "2.5uM"),
            cell.info.5uM %>% 
               mutate(treatment = "5uM"),
            cell.info.50uM %>% 
               mutate(treatment = "50uM")
          ) %>% 
  mutate(rfp.mean.bg.sub.puncta = ifelse(is.na(rfp.mean.bg.sub.puncta), 0, rfp.mean.bg.sub.puncta), 
         degron = "mODC",
         red = "pup1-rfp")
```

```{r}
all.Prot.Inhi.info %>% 
  write_csv(.,"~/plots/all_data/all_mg135_attr.csv")
```

